Lexis AI
AI Startups
Design and BuildFor Products That Matter.
We are an AI-first design and development studio. We work with startups, scale-ups, and product teams across AI, SaaS, and B2B software, designing interfaces people trust and building products that work.
AI Product Design
- UX Research & Strategy
- UI Design & Interaction
- Agentic Design Systems
- Prototype & User Testing
- Design Audit & Redesign
Agentic UX Design
- Agent Interface
- Orchestration Dashboard
- Human-in-the-Loop
- Trust & Transparency
- Error Recovery
AI Prototyping
- MVP Sprint
- Investor Demo
- Rapid Prototyping
- AI-Assisted Dev
- Discovery Workshop
From brief to launch. Five steps
From idea to launch-ready AI experiences
Week 1
Discovery & AI Behavior Mapping
We start by understanding the problem, business goals, users, constraints, and competitive landscape. For AI products, we also map how the AI behaves, what it outputs, where it fails, and how that shapes the interface.
What we do:
Understand client goals and business context.- Define AI feature scope and capabilities.
- Identify user needs and pain points.
- Map technical constraints and AI behaviour.
What you get:
Discovery report.- AI behaviour map.
- Project scope document.
- Sprint priorities.
Week 2
Strategy & Architecture
We turn discovery insights into a clear product direction — information architecture, AI interaction patterns, and a system that can scale with your roadmap.
What we do:
- Define product structure and user journeys.
- Shape AI interaction models and fallbacks.
- Align UX strategy with technical constraints.
- Prioritize features for the first release.
What you get:
- UX strategy brief.
- Information architecture.
- AI interaction framework.
- Release roadmap.
Week 3–4
UI Design & System
We design high-fidelity interfaces and a reusable system so your AI product feels clear, consistent, and ready for engineering.
What we do:
- Craft high-fidelity screens and flows.
- Build an AI-ready component system.
- Design empty, loading, and error states.
- Refine visual hierarchy for trust and clarity.
What you get:
- UI design files.
- Design system foundation.
- Component library.
- State coverage map.
Week 5
Prototype & Validation
We validate the experience with clickable prototypes and feedback loops so decisions are backed by real user signals before build.
What we do:
- Build interactive prototypes.
- Run usability and stakeholder reviews.
- Test AI-assisted flows with users.
- Iterate based on validated learnings.
What you get:
- Clickable prototype.
- Validation findings.
- Iteration backlog.
- Go / no-go recommendations.
Week 6
Handoff & Support
We package everything for a clean engineering handoff and stay close through launch so implementation stays true to the product vision.
What we do:
- Prepare specs and developer-ready assets.
- Walk through edge cases and AI states.
- Support implementation questions.
- Review builds against design intent.
What you get:
- Handoff documentation.
- Annotated specs.
- Launch checklist.
- Post-handoff support.
Week 1
Discovery & AI Behavior Mapping
We start by understanding the problem, business goals, users, constraints, and competitive landscape. For AI products, we also map how the AI behaves, what it outputs, where it fails, and how that shapes the interface.
What we do:
- Understand client goals and business context.
- Define AI feature scope and capabilities.
- Identify user needs and pain points.
- Map technical constraints and AI behaviour.
What you get:
- Discovery report.
- AI behaviour map.
- Project scope document.
- Sprint priorities.
Timelines depend on scope, but every project follows a clear, structured pace from start to finish.
Who we work with
ResultsNot Promises.
hyperAIOur onboarding drop-off reduced by 37% within the first month.
Wendi Gechter
Head of Growth
−0%
Our demo conversion jumped 2.4× after the new landing page went live.
Wendi Gechter
Head of Growth
$0M
Our onboarding drop-off reduced by 37% within the first month.
Wendi Gechter
Head of Growth
Our demo conversion jumped 2.4× after the new landing page went live.
Wendi Gechter
Head of Growth
$0M
Conversion jumped 2.4× after the new landing page went live.
$0M
Raised after product redesign.
Why We are Different
AI products have different rules. Here's how design approaches compare.
Gr8r Studio
Traditional agency
General freelancer
AI product knowledge
Understands LLM behavior & output variability
Designs for streaming, latency, and error states
Knows agentic UX patterns (multi-step AI flows)
Yes
Yes
Yes
Rarely
No
No
Rarely
No
Sometimes
Process & speed
AI-accelerated design workflow
Design-to-code handoff (Figma → production)
Short sprint delivery (not months)
Yes
Yes
Yes
No
Rarely
No
Sometimes
Depends
Yes
Design thinking
Designs trust signals specific to AI products
Balances automation with user control
Ships design-system-ready components
Yes
Yes
Yes
No
Rarely
Sometimes
No
Depends
No
AI product knowledge
Understands LLM behavior & output variability
- Gr8r StudioYes
- Traditional agencyRarely
- General freelancerRarely
Designs for streaming, latency, and error states
- Gr8r StudioYes
- Traditional agencyNo
- General freelancerNo
Knows agentic UX patterns (multi-step AI flows)
- Gr8r StudioYes
- Traditional agencyNo
- General freelancerSometimes
Process & speed
AI-accelerated design workflow
- Gr8r StudioYes
- Traditional agencyNo
- General freelancerSometimes
Design-to-code handoff (Figma → production)
- Gr8r StudioYes
- Traditional agencyRarely
- General freelancerDepends
Short sprint delivery (not months)
- Gr8r StudioYes
- Traditional agencyNo
- General freelancerYes
Design thinking
Designs trust signals specific to AI products
- Gr8r StudioYes
- Traditional agencyNo
- General freelancerNo
Balances automation with user control
- Gr8r StudioYes
- Traditional agencyRarely
- General freelancerDepends
Ships design-system-ready components
- Gr8r StudioYes
- Traditional agencySometimes
- General freelancerNo
AI Product Design FAQs
AI-native product design is the practice of designing digital interfaces specifically built around AI behavior, including dynamic outputs, probabilistic states, user feedback loops, and adaptive UI. It's fundamentally different from traditional UI/UX design because every screen must account for AI unpredictability and explainability.
AI-native product design is the practice of designing digital interfaces specifically built around AI behavior, including dynamic outputs, probabilistic states, user feedback loops, and adaptive UI. It's fundamentally different from traditional UI/UX design because every screen must account for AI unpredictability and explainability.
Tanjim Islam
CEO of Gr8r